Research Article
Emotion Detection from Text using Fuzzy Logic
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 121 - Issue 3 |
| Published: July 2015 |
| Authors: Saqib Qamar, Parvez Ahmad |
10.5120/21522-4501
|
Saqib Qamar, Parvez Ahmad . Emotion Detection from Text using Fuzzy Logic. International Journal of Computer Applications. 121, 3 (July 2015), 29-32. DOI=10.5120/21522-4501
@article{ 10.5120/21522-4501,
author = { Saqib Qamar,Parvez Ahmad },
title = { Emotion Detection from Text using Fuzzy Logic },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 121 },
number = { 3 },
pages = { 29-32 },
doi = { 10.5120/21522-4501 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Saqib Qamar
%A Parvez Ahmad
%T Emotion Detection from Text using Fuzzy Logic%T
%J International Journal of Computer Applications
%V 121
%N 3
%P 29-32
%R 10.5120/21522-4501
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper we propose to use fuzzy logic in detecting emotional content from text. Fuzzy logic was developed to deal with concepts that do not have well-defined, sharp boundaries, which theoretically is ideal for emotion as no well-defined boundaries are defined for emotion categories (e. g. , happiness, sadness, surprise, fear, disgust, and anger). The transition from one physiological state of emotion to another is also gradual and could easily be modeled by fuzzy logic approach.
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